Go Saito

690 total citations
39 papers, 262 citations indexed

About

Go Saito is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Epidemiology. According to data from OpenAlex, Go Saito has authored 39 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 13 papers in Oncology and 10 papers in Epidemiology. Recurrent topics in Go Saito's work include Alcohol Consumption and Health Effects (9 papers), Lung Cancer Treatments and Mutations (8 papers) and Substance Abuse Treatment and Outcomes (8 papers). Go Saito is often cited by papers focused on Alcohol Consumption and Health Effects (9 papers), Lung Cancer Treatments and Mutations (8 papers) and Substance Abuse Treatment and Outcomes (8 papers). Go Saito collaborates with scholars based in Japan and United States. Go Saito's co-authors include Hisashi Yoshimoto, Daichi Fujimoto, Yuki Sato, Takeshi Kobayashi, Masato Kono, Takafumi Suda, Ryohei Goto, Koichi Miyashita, Dai Hashimoto and Hidenori Nakamura and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and BMC Public Health.

In The Last Decade

Go Saito

33 papers receiving 258 citations

Peers

Go Saito
Comparison fields: 5 of 83
  • Pulmonary and Respiratory Medicine 118
  • Oncology 71
  • Epidemiology 55
  • Pathology and Forensic Medicine 41
  • Physiology 40
Replace David Chi Leung Lam with:
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Veronika Skalická Czechia
James A. Town United States
Ho Seok Seo South Korea
Gabriel R. Arguelles United States
Neda Mahdavifar Iran
Marie Lauzon United States
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David Chi Leung Lam China View profile →
Citations per field, relative to Go Saito
Go Saito · 1×
Citations per year, relative to Go Saito
Go Saito · 1×

Countries citing papers authored by Go Saito

Since Specialization
Citations

This map shows the geographic impact of Go Saito's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Go Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Go Saito more than expected).

Fields of papers citing papers by Go Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Go Saito. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Go Saito. The network helps show where Go Saito may publish in the future.

Co-authorship network of co-authors of Go Saito

This figure shows the co-authorship network connecting the top 25 collaborators of Go Saito. A scholar is included among the top collaborators of Go Saito based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Go Saito. Go Saito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 1
5 0
6 2
7 1
8 1
9 13
10 1
11 0
12 1
13 10
14 1
15 0
16 3
17 0
18 8
19 4
20
CHO/hPEPT1 cells overexpressing the human peptide transporter (hPEPT1) as an alternative in vitro model for peptidomimetic drugs
3

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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